[TENSOR MERGE] Delete type_ field from TensorImpl, replaced with backend_/scalar_typ…#9787
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ezyang wants to merge 4 commits intopytorch:masterfrom
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[TENSOR MERGE] Delete type_ field from TensorImpl, replaced with backend_/scalar_typ…#9787ezyang wants to merge 4 commits intopytorch:masterfrom
ezyang wants to merge 4 commits intopytorch:masterfrom
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…e_/is_variable_ The basic game plan is to stop accessing the type_ field directly, and instead using the stored backend_, scalar_type_ and is_variable_ to look up the appropriate Type from Context. Storage of backend_ and scalar_type_ are new. At some future point in time, I'd like to look at this code carefully to see if I can get everything in this codepath inlining. I didn't do it in this patch because there are circular include problems making things difficult. Some other details: - Added Device::backend() which does what it says on the tin - SparseTensorImpl is temporarily hard-coded to root in at::Context for the appropriate context. If/when we put this in shared code, we'll have to break this dep too, but for now it should be OK. - There's a stupid problem with globalContext() deadlocking if you didn't actually initialize it before loading libtorch.so (which is bringing along the variable hooks). I didn't fix it in this PR; it's tracked in pytorch#9784 Signed-off-by: Edward Z. Yang <ezyang@fb.com>
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@pytorchbot retest this please |
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@pytorchbot retest this please |
gchanan
requested changes
Jul 26, 2018
aten/src/ATen/Device.h
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| return type_ == Type::CPU; | ||
| } | ||
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| Backend backend() const { |
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aten/src/TH/THTensor.hpp
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| at::Backend backend() const { | ||
| return storage_->data_ptr.device().backend(); |
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Signed-off-by: Edward Z. Yang <ezyang@fb.com>
gchanan
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Jul 30, 2018
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…… (#9787) Summary: …e_/is_variable_ The basic game plan is to stop accessing the type_ field directly, and instead using the stored backend_, scalar_type_ and is_variable_ to look up the appropriate Type from Context. Storage of backend_ and scalar_type_ are new. At some future point in time, I'd like to look at this code carefully to see if I can get everything in this codepath inlining. I didn't do it in this patch because there are circular include problems making things difficult. Some other details: - Added Device::backend() which does what it says on the tin - SparseTensorImpl is temporarily hard-coded to root in at::Context for the appropriate context. If/when we put this in shared code, we'll have to break this dep too, but for now it should be OK. - There's a stupid problem with globalContext() deadlocking if you didn't actually initialize it before loading libtorch.so (which is bringing along the variable hooks). I didn't fix it in this PR; it's tracked in #9784 Signed-off-by: Edward Z. Yang <ezyang@fb.com> Pull Request resolved: pytorch/pytorch#9787 Reviewed By: cpuhrsch Differential Revision: D8980971 Pulled By: ezyang fbshipit-source-id: 2b4d867abfdc3999a836a220c638c109053145a8
goodlux
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Aug 15, 2018
pytorch#9787) Summary: …e_/is_variable_ The basic game plan is to stop accessing the type_ field directly, and instead using the stored backend_, scalar_type_ and is_variable_ to look up the appropriate Type from Context. Storage of backend_ and scalar_type_ are new. At some future point in time, I'd like to look at this code carefully to see if I can get everything in this codepath inlining. I didn't do it in this patch because there are circular include problems making things difficult. Some other details: - Added Device::backend() which does what it says on the tin - SparseTensorImpl is temporarily hard-coded to root in at::Context for the appropriate context. If/when we put this in shared code, we'll have to break this dep too, but for now it should be OK. - There's a stupid problem with globalContext() deadlocking if you didn't actually initialize it before loading libtorch.so (which is bringing along the variable hooks). I didn't fix it in this PR; it's tracked in pytorch#9784 Signed-off-by: Edward Z. Yang <ezyang@fb.com> Pull Request resolved: pytorch#9787 Reviewed By: cpuhrsch Differential Revision: D8980971 Pulled By: ezyang fbshipit-source-id: 2b4d867abfdc3999a836a220c638c109053145a8
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…e_/is_variable_
The basic game plan is to stop accessing the type_ field directly,
and instead using the stored backend_, scalar_type_ and
is_variable_ to look up the appropriate Type from Context.
Storage of backend_ and scalar_type_ are new.
At some future point in time, I'd like to look at this code
carefully to see if I can get everything in this codepath inlining.
I didn't do it in this patch because there are circular include
problems making things difficult.
Some other details:
Added Device::backend() which does what it says on the tin
SparseTensorImpl is temporarily hard-coded to root in at::Context
for the appropriate context. If/when we put this in shared code,
we'll have to break this dep too, but for now it should be OK.
There's a stupid problem with globalContext() deadlocking if
you didn't actually initialize it before loading libtorch.so
(which is bringing along the variable hooks). I didn't fix
it in this PR; it's tracked in globalContext() deadlock if Context is not initialized before libtorch (variable hooks) is loaded #9784
Signed-off-by: Edward Z. Yang ezyang@fb.com